IGNOU MIO 2 2026 - Briefly describe the Iterative K-means clustering algorithm?

Question

Briefly describe the Iterative K-means clustering algorithm?

10 Feb 2026

Answer :

Word Count : 489

Iterative K-means clustering is a popular unsupervised machine learning algorithm used to group data points into clusters based on their similarity. In the context of smart technologies, both hardware and software systems generate large volumes of data, such as sensor readings, device usage logs, and user behavior patterns. K-means clustering helps in analyzing and organizing this data to make systems more intelligent and adaptive. The process begins by selecting the number of clusters, denoted as *K*, which represents how many groups the dataset should be divided into. The choice of K can be based on prior knowledge or determined using methods such as the elbow method, which identifies

_______ ____ _________ __________ ___ __________.
_____ ___ ___ _______ ______ ______ _____ ____ ___ ________ ____.
____ __________ ___ ______ _______ _________ _____ _______ _______ ________ _____ _______.
_____ ________ __________ _____ _________ _________.
_____ ________ ___ __________ ________ __________ ________ __________ ___.
_________ ___ _____ ____ _________ _____ _________.
________ __________ ______ _______ ________ _________ ______ __________ ________.
_____ __________ _____ __________ _____ ________ _____ ____ _________ _____ __________ __________.
________ _______ ________ _______ _____ ____.
_____ ___ ________ _____ ______ __________ ________ ______ _______.
__________ _________ ________ __________ __________ _________ _____ ____ _______.
_____ ____ ____ _________ ____ ____ ______ _______ ______ ________.
_______ ___ ______ _________ ________ ________ ________ _________.
_______ ______ ________ _____ __________ _____ _______ ___ _________ ___.
_______ _________ _________ _________ _________ _________ __________.
______ _________ ____ ___ ____ ______ ___ ____ _______ _______ ___ ___.
_________ __________ _____ _________ _________ ___.
_______ ___ ________ ____ ____ _____ _______.
__________ _________ ____ ____ _____ ______ _______ _______ ___ ________.
_______ ___ ________ ___ ________ ________ _______.
_____ __________ __________ _______ ____.
______ _______ _____ ___ __________ ______.
________ _______ _______ _________ ______ ____ ______ _________ __________.
_______ ___ ____ __________ _________ _____.
_____ ____ ___ _______ ________ ______ ______.
________ _________ ____ _____ __________ ___ _____ ____.
_______ ________ _________ __________ ______ ____ _______ _______ _____.
________ _________ __________ _____ ___ ______ __________.
___ ____ ___ _________ ________ ________ ____ ____ _____.
_____ ____ __________ ______ _____ _______ ___.
_______ ___ __________ _____ ________ ____.
__________ ________ _______ _____ _________ ___ ________ _____ _________ _________ __________.
______ _______ ______ __________ ____ ____ ____ ___ ___ ________ __________.
_________ ____ __________ ___ ________ _______ _____ _______ ___ ____ ____.
_____ _________ _____ _________ _____ _________.
_____ ______ ______ ________ _________ ___ ____ _____ _______ ______.
_____ _______ ___ ____ _______ _______ ______ __________.
______ _________ __________ _____ _____ _____ ______.
______ ___ ________ ___ _________ _______ ______ ____ _______.
_____ _________ ____ ______ ____.
_________ _______ _____ __________ ________ _______ _______ _______ ______ ______.
__________ ________ _________ ________ ______ ______ ________ ________ _________ ________.
___ ___ _______ _______ _________ ____ ______ ______ _________.
_________ ____ _________ _________ _________ _______ _______ _____ ___ _______ __________.
__________ ________ _______ ______ _____ _______ _____ ___ ___ ______ ______.

IGNOU ACADEMY

Your IGNOU journey, made easier.

Solved Assignments
Study Notes
Guess Papers
Question Papers

Call Us WhatsApp

STUDY • PREPARE • SUCCEED

Skip in 10